{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Self-labeling of Fully Mediating Representations by Graph Alignment\n",
    "\n",
    "This notebook is made available as supporting material for the paper:\n",
    "https://openreview.net/forum?id=XEw5Onu69uu\n",
    "\n",
    "## 1. Download Indigo dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ChemGrapher import download_file_from_google_drive\n",
    "file_id ='16nAdDG78fnA3af7tWPhmg5MSjv1h5ZJS'\n",
    "destination = './indigo_dataset.zip'\n",
    "download_file_from_google_drive(file_id, destination)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zipfile import ZipFile\n",
    "import os \n",
    "with ZipFile('indigo_dataset.zip', 'r') as zipObj:\n",
    "   # Extract all the contents of zip file in current directory\n",
    "   zipObj.extractall()\n",
    "os.mkdir('dataset_indigo') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Preprocess Indigo dataset images to correct resolution for ChemGrapher (1000x1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python preprocess/preprocess_indigo_dataset.py --dataset_folder indigo_validation_set_examples/images --output_folder dataset_indigo --num_images 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Try predicting SMILES (U->W) given one image from Indigo dataset using a pretrained ChemGrapher model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us first have a look at the input image.\n",
    "Feel free to change the image filename to test with other images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "file_num=19\n",
    "filename=f'dataset_indigo/{file_num}.png'\n",
    "Image(filename=filename) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "smiles = !python run_scripts/predict.py --inputfile $filename --segnetwork pretrained_models/segmentation/pretrained_segmentation.SAV --clas_bond_network pretrained_models/bond_clas/pretrained_clas_bond.SAV --clas_atom_network pretrained_models/atom_clas/pretrained_clas_atom.SAV --clas_charge_network pretrained_models/charge_clas/pretrained_clas_charge.SAV"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the resulting predicted SMILES:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'COc1ccc2c(c1CN1CCCC1)C=Cc1ccccc1C2F'"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smiles[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us see how this predicted molecule looks like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7ff8b4d5e170>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from rdkit import Chem\n",
    "mol = Chem.MolFromSmiles(smiles[4])\n",
    "mol"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Predict U->V\n",
    "\n",
    "The SMILES gives us the resulting graph (W) however without the planar embedding (V). When we have the planar embedding available we know which atom/edge prediction relates to which part in the original input image (U) and with this also where exactly the mistakes are made. So the next step is to use ChemGrapher to predict V given U."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "planar = !python run_scripts/predict.py --type planar --inputfile $filename --segnetwork pretrained_models/segmentation/pretrained_segmentation.SAV --clas_bond_network pretrained_models/bond_clas/pretrained_clas_bond.SAV --clas_atom_network pretrained_models/atom_clas/pretrained_clas_atom.SAV --clas_charge_network pretrained_models/charge_clas/pretrained_clas_charge.SAV"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us now visualize these predictions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ChemGrapher import visualize_planar\n",
    "import ast\n",
    "atom_list=ast.literal_eval(planar[4])\n",
    "bond_list = planar[5].replace('array([','')\n",
    "bond_list= bond_list.replace('])','')\n",
    "bond_list=ast.literal_eval(bond_list)\n",
    "visualize_planar(atom_list, bond_list,filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, the planar embedding is richer in information and gives a more detailed view of the graph predictions and how it embeds in the original image."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Relabel planar embedding by graph aligment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 0 H, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 0 F, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 1 H, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 1 F, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 2 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 2 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 2 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 3 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 3 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 3 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 4 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 4 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 4 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 5 H, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 5 F, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 6 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 6 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 6 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 7 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 7 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 7 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 8 H, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 8 N, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 8 O, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 8 F, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 8 B, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 9 H, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 9 F, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 10 H, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 10 F, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 11 H, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 11 N, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 11 O, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 11 F, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 11 B, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 12 H, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 12 N, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 12 O, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 12 F, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 12 B, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 13 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 13 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 13 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 14 H, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 14 N, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 14 O, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 14 F, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 14 B, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 15 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 15 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 15 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 16 H, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 16 N, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 16 O, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 16 F, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 16 B, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 17 H, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 17 N, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 17 O, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 17 F, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 17 B, 4, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 18 H, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 18 F, 2, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 19 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 19 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 19 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 20 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 20 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 20 F, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 21 H, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 21 O, 3, is greater than permitted\n",
      "RDKit ERROR: [21:40:58] Explicit valence for atom # 21 F, 3, is greater than permitted\n"
     ]
    }
   ],
   "source": [
    "from ChemGrapher import alter_atom_graph\n",
    "import ast\n",
    "import pandas as pd\n",
    "atom_list=ast.literal_eval(planar[4])\n",
    "bond_list = planar[5].replace('array([','[')\n",
    "bond_list= bond_list.replace('])',']')\n",
    "bond_list=ast.literal_eval(bond_list)\n",
    "df_smiles = pd.read_csv(f\"dataset_indigo/smiles.csv\")\n",
    "original_smiles = df_smiles.loc[df_smiles['molid'] == file_num]\n",
    "altered_atom_list = alter_atom_graph(atom_list, bond_list, original_smiles.iloc[0]['smiles'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ChemGrapher import visualize_planar\n",
    "import ast\n",
    "bond_list = planar[5].replace('array([','')\n",
    "bond_list= bond_list.replace('])','')\n",
    "bond_list=ast.literal_eval(bond_list)\n",
    "if altered_atom_list is None:\n",
    "    print('no relabeling was possible')\n",
    "else:\n",
    "    visualize_planar(altered_atom_list, bond_list,filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These corrected new rich labels can be used to retrain the model. In a next iteration using this new model the same process would be repeated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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